The suicide risk detection tech is based on the automatic text analysis of social network content via machine learning and NLP algorithms.

After years studying the phenomenon, an Israeli and an American professor have developed a revolutionary treatment method for teenage depression, which is now being awarded by the American Foundation for Suicide Prevention.

A potentially groundbreaking study was for the first time able to predict a person's suicidal tendencies with a simple blood test. The researchers found that suicidal patients have significantly higher platelet numbers than non-suicidal patients.